Published January 24, 2025 | Published
Journal Article Open

Quasistationary hair for binary black hole initial data in scalar Gauss-Bonnet gravity

  • 1. ROR icon Max Planck Institute for Gravitational Physics
  • 2. ROR icon California Institute of Technology

Abstract

Recent efforts to numerically simulate compact objects in alternative theories of gravity have largely focused on the time-evolution equations. Another critical aspect is the construction of constraint-satisfying initial data with precise control over the properties of the systems under consideration. Here, we augment the extended conformal thin sandwich framework to construct quasistationary initial data for black hole systems in scalar Gauss-Bonnet theory and numerically implement it in the open-source p code. Despite the resulting elliptic system being singular at black hole horizons, we demonstrate how to construct numerical solutions that extend smoothly across the horizon. We obtain quasistationary scalar hair configurations in the test-field limit for black holes with linear/angular momentum as well as for black hole binaries. For isolated black holes, we explicitly show that the scalar profile obtained is stationary by evolving the system in time and compare against previous formulations of scalar Gauss-Bonnet initial data. In the case of the binary, we find that the scalar hair near the black holes can be markedly altered by the presence of the other black hole. The initial data constructed here enable targeted simulations in scalar Gauss-Bonnet simulations with reduced initial transients.

Copyright and License

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Open access publication funded by the Max Planck Society.

Acknowledgement

The authors would like to thank Maxence Corman, Hector O. Silva, Vijay Varma, and Nikolas A. Wittek for fruitful discussions. Computations were performed on the Urania HPC systems at the Max Planck Computing and Data Facility. P. J. N. would like to thank many members of the ACR division for helpful feedback regarding a preprint of this paper. This work was supported in part by the Sherman Fairchild Foundation and by NSF Grants No. PHY-2309211, No. PHY-2309231, and No. OAC-2209656.

Funding

This work was supported in part by the Sherman Fairchild Foundation and by NSF Grants No. PHY-2309211, No. PHY-2309231, and No. OAC-2209656.

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Additional details

Created:
January 27, 2025
Modified:
January 27, 2025